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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ICTSSL, CAS | 2023-01-26 15:20 |
Tokyo | TBD (Primary: On-site, Secondary: Online) |
A Packet Classification Method Fusing HyperCuts and Run-Based Tries Taiga Kobayashi, Kenji Mikawa (Maebashi Institute of Tech.)  CAS2022-74 ICTSSL2022-38 |
In packet classification, filtering algorithms are required to have both fast filtering processing ability and flexible ... [more] | CAS2022-74 ICTSSL2022-38 pp.67-72 |
| IA | 2023-01-25 15:05 |
Osaka | Osaka Umeda Campus, Kwansei Gakuin University (Osaka) (Primary: On-site, Secondary: Online) |
A Tree Construction Method with a Genetic Algorithm for the Same World Broadcasting System Koki Makida, Tomoya Kawakami (Univ. Fukui), Satoru Matsumoto, Tomoki Yoshihisa (Osaka Univ.), Yuuichi Teranishi (NICT/Osaka Univ.) IA2022-71 |
We have studied the live broadcasting system called the same world broadcasting system. In the same world broadcasting s... [more] | IA2022-71 pp.22-27 |
| IT, RCS, SIP | 2023-01-24 10:25 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
An improved context tree switching method by dynamic expansion and pruning of context tree Masaya Ootsu, Hideki Yagi (UEC) IT2022-36 SIP2022-87 RCS2022-215 |
The Context Tree Weighting (CTW) method is a sequential lossless universal coding algorithm for tree sources with good p... [more] | IT2022-36 SIP2022-87 RCS2022-215 pp.42-47 |
| IPSJ-SLDM, RECONF, VLD [detail] | 2023-01-24 11:45 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University (Primary: On-site, Secondary: Online) |
Efficient FPGA Implementation of Binarized Neural Networks Based on Generalized Parallel Counter Tree Takahiro Tanigawa, Mugi Noda, Nagisa Ishiura (Kwansei Gakuin Univ.) VLD2022-68 RECONF2022-91 |
Binarized neural networks (BNN) allow compact hardware implementation by binarizing weight values and neuron activations... [more] | VLD2022-68 RECONF2022-91 pp.50-55 |
| MSS, SS | 2023-01-10 14:30 |
Osaka | (Primary: On-site, Secondary: Online) |
Toward Automatic Generation of an Optimal Supervision Tree in Erlang Shoichi Sasaki, Yoshiaki Takata (KUT) MSS2022-46 SS2022-31 |
Erlang is a concurrency-oriented functional programming language that comes standard with lightweight processes that are... [more] | MSS2022-46 SS2022-31 pp.7-12 |
| ICSS | 2022-11-07 14:20 |
Hokkaido | Hokkaido Jichiro Kaikan (Primary: On-site, Secondary: Online) |
Real-time detection method for DOM-based XSS via multiple files Shu Hiura, Akira Kanaoka (Toho Univ.) ICSS2022-40 |
DOM Based XSS is one of the most common vulnerabilities related to injection attacks and is caused by improper JavaScrip... [more] | ICSS2022-40 pp.13-18 |
| RISING (3rd) |
2022-10-31 10:30 |
Kyoto | Kyoto Terrsa (Day 1), and Online (Day 2, 3) | [Poster Presentation]
Delay Analysis Model of Service Chain Configuration for Fat-Tree Topology Tomonori Yokono (Univ. Fukui), Yuhei Hayashi (NTT), Shohei Kamamura (Seikei Univ.), Takuji Tachibana (Univ. Fukui) |
When a service chain is constructed in a data center network, the total transmission delay is expected to be reduced by ... [more] | |
| DC, SS | 2022-10-25 11:15 |
Fukushima | (Primary: On-site, Secondary: Online) |
SS2022-24 DC2022-30 |
Nominal set plays a central role in a group-theoretic extension of finite automata to those over an infinite set of data... [more] | SS2022-24 DC2022-30 pp.16-21 |
| IBISML | 2022-09-15 14:00 |
Kanagawa | Keio Univ. (Yagami Campus) (Primary: On-site, Secondary: Online) |
Interpretable Model Combining statements and DNN Ryo Okuda, Yuya Yoshikawa (STAIR) IBISML2022-36 |
In this study, we propose a method that achieves both interpretability of Decision Tree and the prediction accuracy of D... [more] | IBISML2022-36 pp.25-30 |
| IA, CQ, MIKA (Joint) |
2022-09-15 14:55 |
Hokkaido | Hokkaido Citizens Actives Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
Artificial Intelligence Approaches for Curling Masahito Yamamoto (Hokkaido Univ.) CQ2022-32 |
Curling is a sport in which players compete for points by delivering stones on the ice, and is one of the official sport... [more] | CQ2022-32 p.49 |
| IA, CQ, MIKA (Joint) |
2022-09-15 16:00 |
Hokkaido | Hokkaido Citizens Actives Center (Primary: On-site, Secondary: Online) |
Simulation Evaluation of Plumtree Application in Blockchain Networks Yusuke Kitagawa (Kogakuin Univ), Kazuyuki Shudo (Tokyo Tech), Osamu Mizuno, Ryohei Banno (Kogakuin Univ) IA2022-19 |
In a blockchain, many nodes are randomly interconnected to form a peer-to-peer (P2P) network, and each node broadcasts i... [more] | IA2022-19 pp.26-31 |
| IT | 2022-07-22 14:40 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
Meta-Tree Set Construction for Approximate Bayes Optimal Prediction on Decision Tree Model Keito Tajima, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-27 |
Decision trees are generally used as a predictive function, but some studies use decision trees as data-generative model... [more] | IT2022-27 pp.61-66 |
| IT | 2022-07-22 15:05 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
Bayes Optimal Approximation Algorithm by Boosting-like Construction of Meta-Tree Sets in Classification on Decision Tree Model Ryota Maniwa, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-28 |
Decision trees are used for classification and regression such as predicting the objective variable corresponding to the... [more] | IT2022-28 pp.67-72 |
| ET, IPSJ-CLE | 2022-06-11 14:40 |
Aichi | Nagoya Institute of Technology/Online (Primary: On-site, Secondary: Online) |
About Automatic Scoring of Google Colaboratory Python Programs Ryouta Kozakai, Kobayashi Toshiki, Zhang Wenxuan, Yang Qun, Yuji Watanabe (Nagoya City Univ.) ET2022-6 |
In this study, an automatic scoring program is created for Python program codes input by Google Colaboratory. Since the ... [more] | ET2022-6 pp.20-25 |
| CCS, NLP | 2022-06-09 17:15 |
Osaka | (Primary: On-site, Secondary: Online) |
Visualization of decisions from CNN models trained on OpenStreetMap images labeled based on traffic accident data Kaito Arase, Zhijian Wu, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2022-10 CCS2022-10 |
The authors have recently conducted training of Convolutional Neural Networks (CNNs) on OpenStreetMap images each of whi... [more] | NLP2022-10 CCS2022-10 pp.46-51 |
| QIT (2nd) |
2022-05-31 13:30 |
Online | Online | Fast decoding algorithms with Fenwick trees for surface codes under non-uniform errors Tomochika Arai (Univ. of Tokyo), Yasunari Suzuki, Yuuki Tokunaga (NTT) |
Surface codes are one of the most promising quantum error-correcting codes, and its error estimation can be rephrased as... [more] | |
| KBSE, SWIM | 2022-05-20 14:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Generating LTL formulas with Trace Examples Kota Komatsu, Hiroki Horita (Ibaraki Univ.) KBSE2022-1 SWIM2022-1 |
In declarative process mining, a user can verify a desired property in a business process by providing an LTL formula wi... [more] | KBSE2022-1 SWIM2022-1 pp.1-6 |
| COMP, IPSJ-AL | 2022-05-19 15:40 |
Online | Online | On Time Complexity of Distributed Minimum Spanning Tree Construction in the broadcast-CONGEST model for Restricted Graph Classes Narumi Shigekiyo, Toshimitsu Masuzawa, Taisuke Izumi (Osaka Univ.) COMP2022-5 |
Broadcast-CONGEST is a variant of CONGEST, the standard computational model for distributed graph algorithms, with the r... [more] | COMP2022-5 pp.33-38 |
| IT, EMM | 2022-05-18 12:40 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
On Bayesian Approach for Classification of Context Tree Model Shota Saito (Gunma Univ.) IT2022-11 EMM2022-11 |
This study deals with the Bayesian classification problem, which was investigated by Merhav and Ziv [IEEE Trans. Inf. Th... [more] | IT2022-11 EMM2022-11 pp.56-60 |
| NS | 2022-05-13 09:25 |
Kyoto | Rakuyu Kaikan, Kyoto Univ. + Online (Primary: On-site, Secondary: Online) |
Reduction methods of amount of data in blockchain node Masaki Obayashi, Takeshi Ogawa (TDU) NS2022-14 |
The amount of data that a node in a blockchain needs to store is increasing rapidly in proportion to the total number of... [more] | NS2022-14 pp.29-33 |
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